Complex systems driven in whole or in part by artificial intelligence (AI) are fast becoming ubiquitous, across a broad range of applications. These systems must be tested and evaluated (T&E) to ensure they operate as specified, and not in undesirable ways. AI-based systems are inherently difficult to test because the underlying algorithms that drive them are used in extremely complex environments with overwhelmingly large combinations of inputs and variables. Nonetheless, engineers must perform T&E procedures for the systems to achieve a desired level of assurance, safety, and trustworthiness.
In this course, a team of experts in the field of AI and T&E will provide participants with an understanding of how cutting-edge T&E plans are developed for AI-driven autonomous systems. Participants also will engage in a variety of in-class exercises to practice the concepts of AI-based T&E for autonomous systems.
Participants in this artificial intelligence course will engage in a variety of interactive in-class exercises to get hands-on experience applying the latest in AI-based autonomous systems test and evaluation.
A working knowledge of systems engineering practices and some experience with testing and evaluation of complex systems.